Instructions to use smaswin21/test_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use smaswin21/test_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="smaswin21/test_trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("smaswin21/test_trainer") model = AutoModelForSequenceClassification.from_pretrained("smaswin21/test_trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3f7d4cf72598d6e4cfe297f107d80867ad43681b99b61b398bab17fb21a0f1b2
- Size of remote file:
- 433 MB
- SHA256:
- 14cada45182a85b4dea43de09672f1ea8819a2b170e6ae9596128fe0b49924a9
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